Veracode SaaS-based AppSec platform empowers developers and accelerates DevSecOps
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Veracode SaaS-based AppSec platform empowers developers and accelerates DevSecOps
Additional Info
Company | Veracode |
Website | https://www.veracode.com/ |
Company size (employees) | 500 to 999 |
Overview
Veracode, a leading application security provider, helps companies that innovate through software deliver secure code on time to protect the company and its customers’ data. Unlike on-premises solutions that are hard to scale and focus on finding rather than fixing, Veracode offers a unique combination of SaaS technology and on-demand expertise. Our platform enables DevSecOps through integrations with customers’ pipelines, empowers developers to fix security defects, and scales AppSec programs through best practices to achieve desired outcomes. Veracode covers all AppSec needs in one solution through a combination of five analysis types, available for all major programming languages, frameworks, and application types as varied as microservices, mainframe, and mobile apps.
Veracode’s approach to application security addresses all of these three areas:
• Application Analysis: Veracode provides a unified solution for all major application analysis types, languages, and frameworks. This helps companies consolidate point solutions that they would otherwise have to manage separately, which can very much complicate deployment, operations, and reporting. Our solutions integrate with the development pipeline so that the analysis can be fully automated.
• Developer Enablement: We help you scale security teams by engaging and empowering security champions on your development teams. We can guide your dev teams towards targeted training if one team has a higher frequency of the same security issue. And most importantly, we focus our program on fixing vulnerabilities, not just finding them.
• AppSec Assurance: We help your security team with AppSec governance. This starts with helping you define a program to achieve compliance with internal policies, contractual requirements, laws and regulations. We help you scale your program through best practices, developed through working with over 2,300 customers. We also help you sell the value of AppSec to your senior management, development teams, and even your customers.
How we are different
• DevSecOps: Development teams can’t run a true DevSecOps program if they don’t automate application analysis into the pipeline. That’s why Veracode supports integrations with all major development tools, plus APIs and code samples, if development teams need to integrate with something not supported out of the box. This ease of application analysis is important; Veracode’s State of Software Security report shows that scanning more than 300 times per year increases fix rates threefold and reduces security debt by 5x. We offer automated scanning in the background in IDEs, scanning in the pipeline at DevOps speeds, and thorough policy scans for audit trails.
• Cover all application types: It’s tough to run a comprehensive program if the applications that need to be covered are not supported. Veracode supports application types as diverse as web and mobile apps, as well as microservices in all major programming languages and frameworks. Veracode always looks at the latest development trends, such as GoLang and Kotlin, and carefully considers which new technology to support next. And if companies still have “heirloom software” written in COBOL – that’s covered, too.
• Consolidate AppSec solutions: Security teams are typically struggling to support up to 100 security solutions – all with separate deployments, logins to different consoles, and different reports they'll need to consolidate manually for their next audit. With Veracode, security teams can simplify their vendor management, policy definitions, and reporting by combining five analysis types - static analysis, dynamic analysis, software composition analysis, interactive application security testing, and penetration testing - into one Saas-based solution.
• Machine learning helps provide more comprehensive SCA results: Through machine learning, we have been able to augment the data provided by the National Vulnerability Database by another 50%, inventorying disclosed but not registered "silent fixes" to open source components.